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stat.ME2026
A continuous-time Markov chain framework for population size estimation from multi-list data: accounting for absorbing lists and asymmetric interactions
Ophélie Schaller, Andrew Titman, Rachel McCrea
We introduce a continuous-time Markov chain framework for estimating population size from multi-list data, which allows directional interactions to be modelled and can accommodate…
stat.ME2025
Comparison of Estimators for Multi-State Models in Potentially Non-Markov Processes
Carolin Drenda, Dennis Dobler, Merle Munko +1
Various estimators for modelling the transition probabilities in multi-state models have been proposed, e.g., the Aalen-Johansen estimator, the landmark Aalen-Johansen estimator, a…
stat.ME2017
Subgroup analysis of treatment effects for misclassified biomarkers with time-to-event data
Fang Wan, Andrew C. Titman, Thomas F. Jaki
Analysing subgroups defined by biomarkers is of increasing importance in clinical research. In some situations the biomarker is subject to misclassification error, meaning the true…